Ecomm — CS2 Stats

US76561198881064243[U:1:920798515]Steam profile ↗✓ No bans

1,481Tracked matches43%Win rate2022Tracked since

2,585Hours in CS7Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating12,136Blue band · top ~43.6% of ranked players (population est.)

CSDB Leaderboard#10761 of 15206 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

COLD53–47Last 10053%Win rateWWWLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim4.8

Aggression4.6

Utility5.9

Positioning4.2

Opening Duels1.4

Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.8

Positioning4.2

Utility5.9

Mechanics4.3

Opening Duels1.4

Win Impact2.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time623ms+1ms

first ⅓ avg 622ms → last ⅓ avg 623ms

Headshot accuracy18.2%−0.0%

first ⅓ avg 18.2% → last ⅓ avg 18.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — nuke 13–10

13–1Biggest win — cache

7Longest win streak

W3Current streak

11–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 64% over 14dust2Weakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.00
cache	B	18	9–9	50%	0.01
ancient	B	17	9–8	53%	0.02
dust2	C	17	7–10	41%	0.01
nuke	A	14	9–5	64%	0.02
inferno	A	9	5–4	56%	0.00
anubis	B	6	3–3	50%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,686Lifetime kills

1.00K/D

2,068Matches

42.1%Match win rate

57.1%Headshot % · Top 25% of tracked players

4.8%Shot accuracy

4,109MVPs

743Hours (in match)

1,388Bombs planted

507Bombs defused

Most-used weapons

AK-4715,258

M4A4 / M4A1-S5,443

P2000 / USP-S2,284

AWP1,826

Desert Eagle1,640

Glock-181,561

MP91,320

MAC-101,268

FAMAS1,078

Galil AR956

Lifetime map wins

4,185dust2

1,567nuke

1,231inferno

1,133vertigo

411train

16cbble

3office

2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

143Matches

46%Win rate

1.05Avg K/D

87.1ADR

53%Headshot %

Clutches & streaks

43%1v1 clutch win

29%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	43	47%	0.95	15.5
Mirage	40	45%	1.09	16.9
Ancient	28	54%	1.10	16.3
Inferno	10	30%	0.99	15.2
Anubis	9	56%	1.08	18.7
Nuke	8	12%	0.96	17.5
Cache	3	67%	1.15	16.7
Vertigo	2	100%	1.94	24.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.7%Headshot accuracy

30.9%Accuracy (enemy spotted)

32.6%Spray accuracy

69.4%Counter-strafing

10.3°Preaim

621msReaction time

33.4%T opening success

37.8%CT opening success

0.59Enemies flashed / flash

8.4%Flash assists

9.46HE damage / grenade

9.02Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 33.4059% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	0.05	25%	16 Aug →
dust2	13–4	0.11	25%	16 Aug →
dust2	13–11	0.09	17%	16 Aug →
dust2	7–13	-0.03	26%	16 Aug →
dust2	13–16	-0.00	17%	16 Aug →
mirage	6–13	-0.02	22%	13 Aug →
dust2	8–13	-0.03	16%	2 Aug →
mirage	9–13	-0.04	16%	1 Aug →
ancient	5–13	-0.01	12%	1 Aug →
cache	1–8	-0.01	0%	1 Aug →
cache	13–5	0.13	25%	31 Jul →
cache	8–13	0.03	28%	31 Jul →
mirage	13–5	-0.01	13%	31 Jul →
ancient	13–5	0.04	14%	30 Jul →
inferno	13–8	0.02	14%	30 Jul →
mirage	16–13	0.07	21%	27 Jul →
nuke	10–13	-0.01	23%	27 Jul →
nuke	13–5	0.04	30%	27 Jul →
anubis	8–13	-0.03	14%	27 Jul →
cache	13–1	0.04	18%	27 Jul →
ancient	13–6	0.09	18%	27 Jul →
inferno	13–5	0.11	32%	26 Jul →
mirage	0–3	-0.03	0%	26 Jul →
inferno	10–13	-0.01	21%	26 Jul →
cache	16–14	-0.09	16%	26 Jul →
ancient	3–13	-0.09	16%	26 Jul →
cache	5–13	-0.06	13%	25 Jul →
cache	12–16	-0.01	14%	25 Jul →
dust2	10–13	-0.03	11%	24 Jul →
inferno	2–9	-0.22	25%	24 Jul →
dust2	3–13	-0.07	24%	21 Jul →
inferno	13–7	-0.02	26%	21 Jul →
cache	13–2	0.01	11%	21 Jul →
nuke	9–13	-0.05	17%	21 Jul →
cache	6–13	-0.06	18%	21 Jul →
nuke	6–13	-0.02	11%	21 Jul →
cache	6–13	-0.03	21%	21 Jul →
anubis	13–11	-0.04	13%	21 Jul →
inferno	13–5	-0.05	19%	20 Jul →
dust2	9–13	-0.01	16%	20 Jul →
nuke	2–12	0.03	11%	20 Jul →
dust2	13–7	0.05	23%	20 Jul →
anubis	13–10	0.13	27%	19 Jul →
nuke	13–6	-0.04	13%	19 Jul →
cache	16–14	0.04	24%	19 Jul →
ancient	13–11	0.01	15%	17 Jul →
ancient	13–5	0.09	18%	17 Jul →
mirage	13–7	-0.07	15%	16 Jul →
cache	7–13	-0.02	15%	16 Jul →
dust2	6–0	0.11	18%	16 Jul →
anubis	2–9	-0.07	27%	16 Jul →
cache	10–13	0.06	22%	16 Jul →
ancient	16–13	0.03	14%	15 Jul →
mirage	13–7	0.01	7%	15 Jul →
cache	13–9	0.01	19%	14 Jul →
cache	5–13	-0.04	14%	13 Jul →
nuke	13–8	-0.02	20%	13 Jul →
mirage	16–14	-0.01	25%	13 Jul →
ancient	14–16	0.02	16%	12 Jul →
nuke	13–10	0.15	13%	12 Jul →
mirage	7–13	-0.01	14%	12 Jul →
anubis	13–3	0.08	18%	12 Jul →
nuke	13–9	0.07	29%	12 Jul →
cache	16–12	0.07	28%	12 Jul →
inferno	7–13	0.04	18%	12 Jul →
ancient	9–13	-0.02	14%	11 Jul →
nuke	0–4	-0.06	100%	11 Jul →
anubis	11–13	0.04	14%	11 Jul →
ancient	13–11	0.01	22%	10 Jul →
cache	13–6	0.03	26%	9 Jul →
cache	13–5	0.04	22%	9 Jul →
ancient	7–13	-0.05	7%	5 Jul →
mirage	6–13	0.01	19%	5 Jul →
ancient	13–8	0.06	21%	4 Jul →
ancient	7–13	-0.03	27%	4 Jul →
mirage	10–13	-0.03	20%	4 Jul →
dust2	16–14	0.02	20%	4 Jul →
mirage	13–3	0.07	14%	3 Jul →
ancient	6–13	0.09	21%	3 Jul →
dust2	4–13	-0.05	14%	3 Jul →
nuke	13–11	0.04	18%	2 Jul →
mirage	13–11	-0.02	26%	2 Jul →
mirage	13–10	0.01	17%	2 Jul →
mirage	13–6	0.07	15%	30 Jun →
mirage	13–10	0.01	24%	28 Jun →
mirage	13–6	0.06	13%	28 Jun →
dust2	13–16	0.00	19%	28 Jun →
ancient	7–13	-0.04	20%	28 Jun →
ancient	16–13	0.04	21%	28 Jun →
mirage	5–13	-0.06	13%	27 Jun →
inferno	13–5	0.12	17%	27 Jun →
inferno	9–13	0.05	17%	26 Jun →
mirage	11–13	0.05	23%	25 Jun →
nuke	13–7	0.12	15%	25 Jun →
dust2	13–2	0.14	25%	22 Jun →
dust2	7–13	-0.01	20%	21 Jun →
nuke	13–3	0.05	10%	21 Jun →
dust2	9–13	-0.04	8%	21 Jun →
dust2	13–3	-0.00	23%	20 Jun →
nuke	13–10	0.02	11%	20 Jun →